41 citations · 64 across the 7 of their papers we have counts for
7 papers
Vision And Text Transformer For Predicting Answerability On Visual Question Answering
Tung Le, Huy Tien Nguyen, Le Minh Nguyen
Answerability on Visual Question Answering is a novel and attractive task to predict answerable scores between images and questions in multi-modal data. Existing works often utiliz…
rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation
Minh Hoang Nguyen, Tung Le, Huy Tien Nguyen
Large language models can improve recommendation quality by reasoning explicitly over user history and candidate items - for example, extracting a user's preferences or explaining…
End-to-End Chatbot Evaluation with Adaptive Reasoning and Uncertainty Filtering
Nhi Dang, Tung Le, Huy Tien Nguyen
Large language models (LLMs) combined with retrieval augmented generation have enabled the deployment of domain-specific chatbots, but these systems remain prone to generating unsu…
From Prompting to Preference Optimization: A Comparative Study of LLM-based Automated Essay Scoring
Minh Hoang Nguyen, Vu Hoang Pham, Xuan Thanh Huynh +5
Large language models (LLMs) have recently reshaped Automated Essay Scoring (AES), yet prior studies typically examine individual techniques in isolation, limiting understanding of…
Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
Minh Hoang Nguyen, Thuat Thien Nguyen, Minh Nhat Ta +2
News recommendation systems play a critical role in alleviating information overload by delivering personalized content. A key challenge lies in jointly modeling multi-view represe…
A Summary of the ALQAC 2021 Competition
Nguyen Ha Thanh, Bui Minh Quan, Chau Nguyen +13
We summarize the evaluation of the first Automated Legal Question Answering Competition (ALQAC 2021). The competition this year contains three tasks, which aims at processing the s…